Wyniki wyszukiwania dla: PARTICLE IMAGE VELOCIMETRY - MOST Wiedzy

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Wyniki wyszukiwania dla: PARTICLE IMAGE VELOCIMETRY

Wyniki wyszukiwania dla: PARTICLE IMAGE VELOCIMETRY

  • Image Processing in Robotics (2021/2022)

    Kursy Online
    • P. Chudziak

    For ISD M.Sc. (II degr.) 2 sem. Participants are to learn image processing algorithms related to transformation, filtration, feature detection (image descriptors), image processing algorithms in robotic industrial systems.

  • Materials Science -- Classical Particle Approach (2022)

    Kursy Online
    • J. Dziedzic

    This is the course webpage for Materials Science -- Classical Particle Approach.

  • Materials science. Quantum particle approach. 2023.

    Kursy Online
    • M. Bobrowski

    Quantum ideas applied for particle systems and for chemical reactions.

  • Materials science. Quantum particle approach. 2024

    Kursy Online
    • M. Bobrowski

    Quantum ideas applied for particle systems and for chemical reactions.

  • Image Processing in Robotics

    Kursy Online
    • T. Białaszewski

  • Image Processing in Robotics

    Kursy Online
    • S. Dziedziewicz

  • Materials science. Quantum particle approach. 2022.

    Kursy Online
    • M. Bobrowski

    quantum methods for materials and molecular modeling.

  • Material Science Quantum Particle Approach 2021

    Kursy Online
    • M. Bobrowski

    quantum methods for materials and molecular modeling.

  • Materials Science - classical particle approach 2023/2024

    Kursy Online
    • S. Winczewski
    • F. Oseko

    Computer modeling and design of materials, kierunek: Nanotechnologia, specjalność: Mathematics for new materials design, II stopień, semestr 3

  • Materials Science - Classical Particle Approach 2024/2025

    Kursy Online
    • S. Winczewski
    • F. Oseko

    Computer modeling and design of materials, kierunek: Nanotechnologia, specjalność: Mathematics for new materials design, II stopień, semestr 3

  • Deep neural networks for data analysis

    Kursy Online
    • K. Draszawka

    The aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...

  • Team Strategies - sem. 2022/23

    Kursy Online
    • T. Białaszewski

    The main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task

  • Team Strategies - sem. 2023/24

    Kursy Online
    • T. Białaszewski

    The main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task

  • Team Strategies - sem. 2024/25

    Kursy Online
    • T. Białaszewski

    The main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task

  • Mechanics I, W/C, MiBM, sem. 02, lato 22/23 (PG_00050273)

    Kursy Online
    • O. Nosko

    The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.

  • Mechanics II, W/C, MiBM, sem. 03, zima 22/23 (PG_00055119)

    Kursy Online
    • O. Nosko

    The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.

  • Mechanics II, W/C, ZiIP, sem. 03, zima 23/24 (PG_00055119)

    Kursy Online
    • O. Nosko

    The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.

  • Mechanics I, W/C, ZiIP, sem. 02, lato 23/24 (PG_00050273)

    Kursy Online
    • O. Nosko

    The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.

  • Mechanics II, W/C, ZiIP, sem. 03, zima 24/25 (PG_00055119)

    Kursy Online
    • O. Nosko

    The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.

  • [IMe] Advanced numerical methods in mechanics

    Kursy Online
    • K. Tesch
    • R. Jankowski
    • A. Żak

    {mlang pl} Dyscyplina: inżynieria mechaniczna Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof. PG Liczba godzin: 45 Forma zajęć: wykład {mlang} {mlang en} Discipline: mechanical engineering Obligatory course for 1st and 2nd-year PhD students Academic teachers: dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof....

  • ENTREPRENEURSHIP AND CREATIVITY - summer term 2021/22

    Kursy Online
    • M. Popowska

    The aim of the course is to acquaint students with entrepreneurship as a phenomenon,  increase their pro-entrepreneurial attitudes and develop skills necessary in entrepreneurship process. Special emphasis will be placed on fashion business as representing creative industry. The main objectives are as follows: Learn how to prepare a business model canvas and business plan. Know the backstage of the fashion industry. Identify...

  • ENTREPRENEURSHIP AND CREATIVITY - winter term 2024/25

    Kursy Online
    • M. M. Popowska
    • M. Mustafayev

    The aim of the course is to acquaint students with entrepreneurship as a phenomenon,  increase their pro-entrepreneurial attitudes and develop skills necessary in entrepreneurship process. Special emphasis will be placed on fashion business as representing creative industry. The main objectives are as follows: Learn how to prepare a business model canvas and business plan. Know the backstage of the fashion industry. Identify...